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題名 隨機應答取樣之研究
作者 陳綉真
Chen, Zhen
貢獻者 李隆安
Li, Long-An
陳綉真
Chen, Zhen
關鍵詞 隨機應答
參數設計
數學
不相關問題模式
應用數學
APPLIED-MATHEMATICS
MATHEMATICS
日期 1993
1992
上傳時間 2-May-2016 15:21:25 (UTC+8)
摘要 在隨機應答的技巧之中，自華納(Warner,1965) 提出華納模式後，即有多位學者以華納的觀點為籃圖，展開一系列的縱橫發展，並插枝分葉出各式技巧來(Chandhuri & Makerjee,1988)。
參考文獻 [1] 楊文山 (1993)隨機應答在大型實地調查中的應用─『以估計台灣地區賄選為例』，台灣地區社會意向調查資料運用學術研討會；中央研究院中山人文社會科學研究所。
     [2] 楊文山與伊慶春 (1992) 『台灣社會意向調查』資料檔簡介，科學發展月刊，第二十卷第二期，頁144-148。
     [3] Anderson ,H. (1975a) “Efficiency versus protection in the RR designs for estimating proportions.” Tech. Rep. 9, University of Lund, Sweden.
     [4] Aderson ,H. (1975b) “Efficiency versus protection in a general RR model for estimation proportions.” Tech. Rep. 10, University of Lund, Sweden.
     [5] Anderson ,H. (1975c) “Effciency versus protection in RR designs.” Mimeo notes, University of Lund , Sweden.
     [6] Bourke, P.D. , and Dalenius , T. (1974) “RR models with lying.” Tech. Rep. 71, Institute of Statistics, University of Stockholm, Sweden.
     [7] Brewer,K. R. W. (1981) “Estimating marijuana asage using RR—Some paradoxical findings.” Australian Journal of Statistics. 23, 139-48.
     [8] Chaudhuri,A. , and Rahal , M. (1988)”Randomized Response: The-ory and Techniques.” New York : Marcel Dekker Inc.
     [9] Devore , J. L. (1977) ”A note on the RR techniques.” Common Statist. –Theory Methods 6, 1525-1529.
     [10] Dowling ,T.A. , and Shachtman , R. (1975) “On the relative effciency or RR models.” J. Amer. Statist. Assoc. 70, 84-87.
     [11] Duffy , J. C. , and Waterton ,J. J. (1988) “RR vs. Direct question-ing : estimating the prevalence of alcohol reated problems in a field survey.” Australian Journal of Statistics. 30, 1-14
     [12] Flinger,M. A. , Policello, G. E. ,and Singh, J. (1977) “A comparison of two RR survey methods with considerson for the level of respondent protection.” Common. Statist. – Theory Methods 6, 1511-1526.
     [13] Folsom , R. E. Greenberg ,B. G. ,Horvitz ,D. G. And Abernathy,J. R. (1973) “The two alternate questions RR model for human surveys.” J. Amer. Statist. Assoc. 68, 525-530.
     [14] Fox , J. A. , and Tracy , P. E. (1986) ”RR : A method for sensitive surveys.” Sage University Paper Series on Quantitative Applications in the Social Science 07-058 ,Beverly Hill , CA:Sage.
     [15] Greenberg ,B. G. , Abul-Ela ,Abdel-Latif,A. , Simmons , W. R. , and Horvitz,D. G. (1969) “The unrelated uestion RR Model : Theoretical framework.” J. Amer. Statist. Assoc. 64, 520-539.
     [16] Greenberg ,B. G. ,Kubler , R. R. , Abernathy,J. R.,and Horvitz ,D. G. (1977) “Respondent hazards in the unrelated question RR Model.” J. Statist. Plann. Inference 1, 53-60.
     [17] Horvitz ,D. G. , Shah ,B. V. , and Simmons ,W. R. (1967) “The unrelated question RR Model. “Proccedings of the Social Statistics Section, American Statistical Association, 65-72.
     [18] Horvitz ,D. G. ,Greenberg ,B. G. ,and Abernathy,.J. R. (1976) “RR: adata gathering device for sensitive uestions.” Internat. Statist. Reu. 44, 181-196.
     [19] I-Cheng,C. , Chow ,L. P. , and Rider , R. V. (1972) “The RR technique as used in Taiwan outcome of pregency study.” Studies in Family Planning. 3 265-269.
     [20] Kim, Jong-Ik , and Flueck , J. A. (1978a) “Modifications of the RRT for Sampling without replacement.” Proc. ASA. Sec. Suru. Res. Methods , 346-350.
     [21] Krotki ,K. J. ,and Fox ,B. (1974) “The RR technique ,the interview and the self-administrated questionnaire. An empirical comparison of fertility reporting.” Proccedings of the Social Statistics Section , American Statistical Association, 357-371.
     [22] Lanke, J. (1975) “On the choice of unrelated question in Simmons’version of RR.” J. Amer. Statist. Assoc. 70, 80-83.
     [23] Lanke, J. (1976) “On the degree of protection in randomized inter-views.” Internat. Statist. Reu. 44, 197-203.
     [24] Leysieffer, R. W. ,and Warner , S. L. (1976) “Respondent jeopardy and optimal designs in RR models.” J. Amer. Statist. Assoc. 71, 649-656.
     [25] Moors , J. J. A. (1971) “Optimization of the unrelated question RR model.” J. Amer. Statist. Assoc. 66, 627-629.
     [26] Shimizu , I. M. , and Bonham , G. S. (1978) “RR technique in anational survey.” J. Amer. Statist. Assoc. 73, 35-39.
     [27] Tracy , P.E. , and Fox , J. A. (1981) “The validity of RR for sensitive measurement.” American Sociologiacal Reuiew. 46, 187-200.
     [28] Umesh , U. N. , and Peterson R. A. (1991) “A critical evaluation of the RR method, applications , validation ,and research Agenda.” Sociological Methods and Research. Bd 20 ,104-138.
     [29] Warner , S. L. (1965) “RR: a survey technique for elimination evasive answer bias.” J. Amer. Statist. Assoc. 60. 63-69.
描述 碩士
國立政治大學
應用數學系
資料來源 http://thesis.lib.nccu.edu.tw/record/#B2002004360
資料類型 thesis
dc.contributor.advisor 李隆安zh_TW
dc.contributor.advisor Li, Long-Anen_US
dc.contributor.author (Authors) 陳綉真zh_TW
dc.contributor.author (Authors) Chen, Zhenen_US
dc.creator (作者) 陳綉真zh_TW
dc.creator (作者) Chen, Zhenen_US
dc.date (日期) 1993en_US
dc.date (日期) 1992en_US
dc.date.accessioned 2-May-2016 15:21:25 (UTC+8)-
dc.date.available 2-May-2016 15:21:25 (UTC+8)-
dc.date.issued (上傳時間) 2-May-2016 15:21:25 (UTC+8)-
dc.identifier (Other Identifiers) B2002004360en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/89342-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 應用數學系zh_TW
dc.description.abstract (摘要) 在隨機應答的技巧之中，自華納(Warner,1965) 提出華納模式後，即有多位學者以華納的觀點為籃圖，展開一系列的縱橫發展，並插枝分葉出各式技巧來(Chandhuri & Makerjee,1988)。zh_TW
dc.description.tableofcontents 自序
     謝辭
     摘要﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒vi
     專有名詞暨簡記符號﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒vii
     第零章 導論﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒1
     一、 引言﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒1
     二、 本文架構﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒2
     第一章 華納模式﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒4
     1-1：華納模式的技巧與方法﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒4
     1-2：p值大小隊估量的影響﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒6
     1-3：”誠實回答”假設的修正﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒8
     1-4：非MLE.的爭論﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒10
     1-5：DR與RR的比較﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒12
     1-6：討論﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒ 16
      一、兼具MLE.及UE.的估量﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒16
      二、樣本置回的考慮﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒17
     第二章 不相關命題模式﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒18
      2-1: πY為已知的技巧與方法﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒19
      2-2: πY為未知的技巧與方法﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒20
      2-3: 最佳參數的設計原則﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒21
      一、最佳n1n2設計﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒ ﹒﹒﹒22
      二、最佳πY設計﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒23
      三、最佳p1設計﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒24
      四、最佳p2設計﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒24
      2-4：華納模式與UQM.的比較﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒25
      2-5：兩組UQM.的設計﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒31
      2-6：討論﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒33
      一、設計πY為已知的方法﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒33
      二、有關πY的最佳設計﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒33
     第三章 風險函數和有效估計﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒34
      3-1： 危及函數﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒35
      3-2： 洩漏函數﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒41
      一、Anderson觀點﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒41
      二、Lanke觀點﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒43
      三、Flinger 觀點﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒44
      3-3：冒險函數﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒45
     第四章 新的冒險函數﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒48
      4-1：定值常數的猜測值﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒50
      一、”是”的情形﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒50
      二、”不是”的情形﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒52
      4-2：與洩漏風險有關猜測值﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒54
      一、”是”的情形﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒54
      二、”不是”的情形﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒56
     4-3：與敏感性族群大小有關的猜測值﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒57
      一、”是”的情形﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒57
      二、”不是”的情形﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒﹒59		zh_TW
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#B2002004360en_US
dc.subject (關鍵詞) 隨機應答zh_TW
dc.subject (關鍵詞) 參數設計zh_TW
dc.subject (關鍵詞) 數學zh_TW
dc.subject (關鍵詞) 不相關問題模式zh_TW
dc.subject (關鍵詞) 應用數學zh_TW
dc.subject (關鍵詞) APPLIED-MATHEMATICSen_US
dc.subject (關鍵詞) MATHEMATICSen_US
dc.title (題名) 隨機應答取樣之研究zh_TW
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) [1] 楊文山 (1993)隨機應答在大型實地調查中的應用─『以估計台灣地區賄選為例』，台灣地區社會意向調查資料運用學術研討會；中央研究院中山人文社會科學研究所。
     [2] 楊文山與伊慶春 (1992) 『台灣社會意向調查』資料檔簡介，科學發展月刊，第二十卷第二期，頁144-148。
     [3] Anderson ,H. (1975a) “Efficiency versus protection in the RR designs for estimating proportions.” Tech. Rep. 9, University of Lund, Sweden.
     [4] Aderson ,H. (1975b) “Efficiency versus protection in a general RR model for estimation proportions.” Tech. Rep. 10, University of Lund, Sweden.
     [5] Anderson ,H. (1975c) “Effciency versus protection in RR designs.” Mimeo notes, University of Lund , Sweden.
     [6] Bourke, P.D. , and Dalenius , T. (1974) “RR models with lying.” Tech. Rep. 71, Institute of Statistics, University of Stockholm, Sweden.
     [7] Brewer,K. R. W. (1981) “Estimating marijuana asage using RR—Some paradoxical findings.” Australian Journal of Statistics. 23, 139-48.
     [8] Chaudhuri,A. , and Rahal , M. (1988)”Randomized Response: The-ory and Techniques.” New York : Marcel Dekker Inc.
     [9] Devore , J. L. (1977) ”A note on the RR techniques.” Common Statist. –Theory Methods 6, 1525-1529.
     [10] Dowling ,T.A. , and Shachtman , R. (1975) “On the relative effciency or RR models.” J. Amer. Statist. Assoc. 70, 84-87.
     [11] Duffy , J. C. , and Waterton ,J. J. (1988) “RR vs. Direct question-ing : estimating the prevalence of alcohol reated problems in a field survey.” Australian Journal of Statistics. 30, 1-14
     [12] Flinger,M. A. , Policello, G. E. ,and Singh, J. (1977) “A comparison of two RR survey methods with considerson for the level of respondent protection.” Common. Statist. – Theory Methods 6, 1511-1526.
     [13] Folsom , R. E. Greenberg ,B. G. ,Horvitz ,D. G. And Abernathy,J. R. (1973) “The two alternate questions RR model for human surveys.” J. Amer. Statist. Assoc. 68, 525-530.
     [14] Fox , J. A. , and Tracy , P. E. (1986) ”RR : A method for sensitive surveys.” Sage University Paper Series on Quantitative Applications in the Social Science 07-058 ,Beverly Hill , CA:Sage.
     [15] Greenberg ,B. G. , Abul-Ela ,Abdel-Latif,A. , Simmons , W. R. , and Horvitz,D. G. (1969) “The unrelated uestion RR Model : Theoretical framework.” J. Amer. Statist. Assoc. 64, 520-539.
     [16] Greenberg ,B. G. ,Kubler , R. R. , Abernathy,J. R.,and Horvitz ,D. G. (1977) “Respondent hazards in the unrelated question RR Model.” J. Statist. Plann. Inference 1, 53-60.
     [17] Horvitz ,D. G. , Shah ,B. V. , and Simmons ,W. R. (1967) “The unrelated question RR Model. “Proccedings of the Social Statistics Section, American Statistical Association, 65-72.
     [18] Horvitz ,D. G. ,Greenberg ,B. G. ,and Abernathy,.J. R. (1976) “RR: adata gathering device for sensitive uestions.” Internat. Statist. Reu. 44, 181-196.
     [19] I-Cheng,C. , Chow ,L. P. , and Rider , R. V. (1972) “The RR technique as used in Taiwan outcome of pregency study.” Studies in Family Planning. 3 265-269.
     [20] Kim, Jong-Ik , and Flueck , J. A. (1978a) “Modifications of the RRT for Sampling without replacement.” Proc. ASA. Sec. Suru. Res. Methods , 346-350.
     [21] Krotki ,K. J. ,and Fox ,B. (1974) “The RR technique ,the interview and the self-administrated questionnaire. An empirical comparison of fertility reporting.” Proccedings of the Social Statistics Section , American Statistical Association, 357-371.
     [22] Lanke, J. (1975) “On the choice of unrelated question in Simmons’version of RR.” J. Amer. Statist. Assoc. 70, 80-83.
     [23] Lanke, J. (1976) “On the degree of protection in randomized inter-views.” Internat. Statist. Reu. 44, 197-203.
     [24] Leysieffer, R. W. ,and Warner , S. L. (1976) “Respondent jeopardy and optimal designs in RR models.” J. Amer. Statist. Assoc. 71, 649-656.
     [25] Moors , J. J. A. (1971) “Optimization of the unrelated question RR model.” J. Amer. Statist. Assoc. 66, 627-629.
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